Data Science
- Country Italy
- Course Duration 2 year
- Course Type Full Time
- Courses Campus On Campus
- Language Specification IELTS
- Program Level Post-Graduate
- Education Required Graduate
- Admission intake SEP
- Minimum GPA 2.5
Application Charges
| Application Fee | Tution Fee |
|---|---|
| Free | GBP 0 |
Application Date
| Application Start Date | Application Closing Date |
|---|---|
|
2022-12-16
|
2023-02-16
|
Scholarships
| Name | Type | No. Available |
|---|---|---|
| Scholarships |
Program Description
Big Data can provide important insights into business processes and uncover opportunities to cut costs and increase efficiency. Furthermore, data analytics enables organisations to effectively target specific audiences and to adapt product characteristics based on customer preferences. It can also be used to improve the decision-making process.
Visit the Data Science page on the Politecnico di Milano website for more details!
What you will gain
Our interdisciplinary programme is designed to cover both the theoretical and the practical. We use a combination of face-to-face workshops, group activities, and hands-on exercises to cover everything from the basics of data analysis to such specific skills as:- Scalable data collection
- Methods of data analysis
- Data capture
- Data storage
- Transferring data
- Visualising data
- Data pricing
- Data protection
Unlock new career opportunities
Careers in data science are simply exploding. You will leave this programme having the training and skills needed to unlock a range of career opportunities. Our Data Science graduates can be found working in open innovation settings and leading technology companies. Some have even gone on to launch their own successful start-ups and consultancies.Visit the programme website to learn more.Read more about how EIT Digital Master Programmes offers you a unique learning experience.Visit the Data Science page on the Politecnico di Milano website for more details!
Entry Requirements
Our Data Science Master’s programme is open to applicants with either a Bachelor of Science degree or who are in their final year of study in: Computer Science, Information Systems, Mathematics, Statistics, Electrical Engineering/Electronics
Studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics, including calculus, algebra, and mathematical statistics. In some circumstances, relevant work experience may compensate for a lack of a relevant degree. Such work experience should be justified in your letter of motivation.
Studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics, including calculus, algebra, and mathematical statistics. In some circumstances, relevant work experience may compensate for a lack of a relevant degree. Such work experience should be justified in your letter of motivation.
